PhD Position on Data-Driven Design and Analysis of Architected Materials

DTU Engineering Technology is seeking a motivated PhD student to develop a data-centric framework for designing and analyzing architected materials using virtual structure generation and interpretable learning techniques. The role involves generative design, multi-fidelity computational modeling, and graph representation learning to create materials with tailored functionalities. The position offers an opportunity to work with international academic partners and contribute to advanced materials research.